iPad16,6
Geekbench ML Score
4657
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 16 2024 02:28 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.39 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.20 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1881
352.1 IPS |
|
|
Image Classification (F16)
|
100% |
2525
472.6 IPS |
|
|
Image Classification (I8)
|
99% |
2508
469.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1196
20.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1163
19.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1157
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
9496
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17933
21.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
17915
21.7 IPS |
|
|
Object Detection (F32)
|
100% |
1904
142.2 IPS |
|
|
Object Detection (F16)
|
100% |
2599
194.0 IPS |
|
|
Object Detection (I8)
|
97% |
1908
142.5 IPS |
|
|
Face Detection (F32)
|
100% |
3540
42.1 IPS |
|
|
Face Detection (F16)
|
97% |
5542
65.9 IPS |
|
|
Face Detection (I8)
|
97% |
5564
66.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
7510
58.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
11035
85.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
11096
86.1 IPS |
|
|
Style Transfer (F32)
|
100% |
23405
30.8 IPS |
|
|
Style Transfer (F16)
|
100% |
34299
45.1 IPS |
|
|
Style Transfer (I8)
|
100% |
34246
45.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5871
209.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6829
243.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6821
243.6 IPS |
|
|
Text Classification (F32)
|
100% |
2768
3.98 KIPS |
|
|
Text Classification (F16)
|
100% |
4484
6.44 KIPS |
|
|
Text Classification (I8)
|
96% |
4450
6.40 KIPS |
|
|
Machine Translation (F32)
|
100% |
1614
29.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1856
34.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1610
29.6 IPS |
